Literature DB >> 24035531

Prediction of late distant recurrence in patients with oestrogen-receptor-positive breast cancer: a prospective comparison of the breast-cancer index (BCI) assay, 21-gene recurrence score, and IHC4 in the TransATAC study population.

Dennis C Sgroi1, Ivana Sestak2, Jack Cuzick2, Yi Zhang3, Catherine A Schnabel3, Brock Schroeder3, Mark G Erlander3, Anita Dunbier4, Kally Sidhu5, Elena Lopez-Knowles5, Paul E Goss6, Mitch Dowsett7.   

Abstract

BACKGROUND: Biomarkers to improve the risk-benefit of extended adjuvant endocrine therapy for late recurrence in patients with oestrogen-receptor-positive breast cancer would be clinically valuable. We compared the prognostic ability of the breast-cancer index (BCI) assay, 21-gene recurrence score (Oncotype DX), and an immunohistochemical prognostic model (IHC4) for both early and late recurrence in patients with oestrogen-receptor-positive, node-negative (N0) disease who took part in the Arimidex, Tamoxifen, Alone or in Combination (ATAC) clinical trial.
METHODS: In this prospective comparison study, we obtained archival tumour blocks from the TransATAC tissue bank from all postmenopausal patients with oestrogen-receptor-positive breast cancer from whom the 21-gene recurrence score and IHC4 values had already been derived. We did BCI analysis in matched samples with sufficient residual RNA using two BCI models-cubic (BCI-C) and linear (BCI-L)-using previously validated cutoffs. We assessed prognostic ability of BCI for distant recurrence over 10 years (the primary endpoint) and compared it with that of the 21-gene recurrence score and IHC4. We also tested the ability of the assays to predict early (0-5 years) and late (5-10 years) distant recurrence. To assess the ability of the biomarkers to predict recurrence beyond standard clinicopathological variables, we calculated the change in the likelihood-ratio χ(2) (LR-Δχ(2)) from Cox proportional hazards models.
FINDINGS: Suitable tissue was available from 665 patients with oestrogen-receptor-positive, N0 breast cancer for BCI analysis. The primary analysis showed significant differences in risk of distant recurrence over 10 years in the categorical BCI-C risk groups (p<0·0001) with 6·8% (95% CI 4·4-10·0) of patients in the low-risk group, 17·3% (12·0-24·7) in the intermediate group, and 22·2% (15·3-31·5) in the high-risk group having distant recurrence. The secondary analysis showed that BCI-L was a much stronger predictor for overall (0-10 year) distant recurrence compared with BCI-C (interquartile HR 2·30 [95% CI 1·62-3·27]; LR-Δχ(2)=22·69; p<0·0001). When compared with BCI-L, the 21-gene recurrence score was less predictive (HR 1·48 [95% CI 1·22-1·78]; LR-Δχ(2)=13·68; p=0·0002) and IHC4 was similar (HR 1·69 [95% CI 1·51-2·56]; LR-Δχ(2)=22·83; p<0·0001). All further analyses were done with the BCI-L model. In a multivariable analysis, all assays had significant prognostic ability for early distant recurrence (BCI-L HR 2·77 [95% CI 1·63-4·70], LR-Δχ(2)=15·42, p<0·0001; 21-gene recurrence score HR 1·80 [1·42-2·29], LR-Δχ(2)=18·48, p<0·0001; IHC4 HR 2·90 [2·01-4·18], LR-Δχ(2)=29·14, p<0·0001); however, only BCI-L was significant for late distant recurrence (BCI-L HR 1·95 [95% CI 1·22-3·14], LR-Δχ(2)=7·97, p=0·0048; 21-gene recurrence score HR 1·13 [0·82-1·56], LR-Δχ(2)=0·48, p=0·47; IHC4 HR 1·30 [0·88-1·94], LR-Δχ(2)=1·59, p=0·20).
INTERPRETATION: BCI-L was the only significant prognostic test for risk of both early and late distant recurrence and identified two risk populations for each timeframe. It could help to identify patients at high risk for late distant recurrence who might benefit from extended endocrine or other therapy. FUNDING: Avon Foundation, National Institutes of Health, Breast Cancer Foundation, US Department of Defense Breast Cancer Research Program, Susan G Komen for the Cure, Breakthrough Breast Cancer through the Mary-Jean Mitchell Green Foundation, AstraZeneca, Cancer Research UK, and the National Institute for Health Research Biomedical Research Centre at the Royal Marsden (London, UK).
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 24035531      PMCID: PMC3918681          DOI: 10.1016/S1470-2045(13)70387-5

Source DB:  PubMed          Journal:  Lancet Oncol        ISSN: 1470-2045            Impact factor:   41.316


  30 in total

1.  Strong time dependence of the 76-gene prognostic signature for node-negative breast cancer patients in the TRANSBIG multicenter independent validation series.

Authors:  Christine Desmedt; Fanny Piette; Sherene Loi; Yixin Wang; Françoise Lallemand; Benjamin Haibe-Kains; Giuseppe Viale; Mauro Delorenzi; Yi Zhang; Mahasti Saghatchian d'Assignies; Jonas Bergh; Rosette Lidereau; Paul Ellis; Adrian L Harris; Jan G M Klijn; John A Foekens; Fatima Cardoso; Martine J Piccart; Marc Buyse; Christos Sotiriou
Journal:  Clin Cancer Res       Date:  2007-06-01       Impact factor: 12.531

2.  Estrogen-regulated genes predict survival in hormone receptor-positive breast cancers.

Authors:  Daniel S Oh; Melissa A Troester; Jerry Usary; Zhiyuan Hu; Xiaping He; Cheng Fan; Junyuan Wu; Lisa A Carey; Charles M Perou
Journal:  J Clin Oncol       Date:  2006-02-27       Impact factor: 44.544

3.  The HOXB13:IL17BR expression index is a prognostic factor in early-stage breast cancer.

Authors:  Xiao-Jun Ma; Susan G Hilsenbeck; Wilson Wang; Li Ding; Dennis C Sgroi; Richard A Bender; C Kent Osborne; D Craig Allred; Mark G Erlander
Journal:  J Clin Oncol       Date:  2006-10-01       Impact factor: 44.544

4.  Utility of oncotype DX risk estimates in clinically intermediate risk hormone receptor-positive, HER2-normal, grade II, lymph node-negative breast cancers.

Authors:  Catherine M Kelly; Savitri Krishnamurthy; Giampaolo Bianchini; Jennifer K Litton; Ana M Gonzalez-Angulo; Gabriel N Hortobagyi; Lajos Pusztai
Journal:  Cancer       Date:  2010-11-15       Impact factor: 6.860

5.  Prognostic and predictive value of the 21-gene recurrence score assay in postmenopausal women with node-positive, oestrogen-receptor-positive breast cancer on chemotherapy: a retrospective analysis of a randomised trial.

Authors:  Kathy S Albain; William E Barlow; Steven Shak; Gabriel N Hortobagyi; Robert B Livingston; I-Tien Yeh; Peter Ravdin; Roberto Bugarini; Frederick L Baehner; Nancy E Davidson; George W Sledge; Eric P Winer; Clifford Hudis; James N Ingle; Edith A Perez; Kathleen I Pritchard; Lois Shepherd; Julie R Gralow; Carl Yoshizawa; D Craig Allred; C Kent Osborne; Daniel F Hayes
Journal:  Lancet Oncol       Date:  2009-12-10       Impact factor: 41.316

6.  A two-gene expression ratio predicts clinical outcome in breast cancer patients treated with tamoxifen.

Authors:  Xiao-Jun Ma; Zuncai Wang; Paula D Ryan; Steven J Isakoff; Anne Barmettler; Andrew Fuller; Beth Muir; Gayatry Mohapatra; Ranelle Salunga; J Todd Tuggle; Yen Tran; Diem Tran; Ana Tassin; Paul Amon; Wilson Wang; Wei Wang; Edward Enright; Kimberly Stecker; Eden Estepa-Sabal; Barbara Smith; Jerry Younger; Ulysses Balis; James Michaelson; Atul Bhan; Karleen Habin; Thomas M Baer; Joan Brugge; Daniel A Haber; Mark G Erlander; Dennis C Sgroi
Journal:  Cancer Cell       Date:  2004-06       Impact factor: 31.743

7.  Biological processes associated with breast cancer clinical outcome depend on the molecular subtypes.

Authors:  Christine Desmedt; Benjamin Haibe-Kains; Pratyaksha Wirapati; Marc Buyse; Denis Larsimont; Gianluca Bontempi; Mauro Delorenzi; Martine Piccart; Christos Sotiriou
Journal:  Clin Cancer Res       Date:  2008-08-15       Impact factor: 12.531

8.  A gene-expression signature as a predictor of survival in breast cancer.

Authors:  Marc J van de Vijver; Yudong D He; Laura J van't Veer; Hongyue Dai; Augustinus A M Hart; Dorien W Voskuil; George J Schreiber; Johannes L Peterse; Chris Roberts; Matthew J Marton; Mark Parrish; Douwe Atsma; Anke Witteveen; Annuska Glas; Leonie Delahaye; Tony van der Velde; Harry Bartelink; Sjoerd Rodenhuis; Emiel T Rutgers; Stephen H Friend; René Bernards
Journal:  N Engl J Med       Date:  2002-12-19       Impact factor: 91.245

9.  Prediction of risk of distant recurrence using the 21-gene recurrence score in node-negative and node-positive postmenopausal patients with breast cancer treated with anastrozole or tamoxifen: a TransATAC study.

Authors:  Mitch Dowsett; Jack Cuzick; Christopher Wale; John Forbes; Elizabeth A Mallon; Janine Salter; Emma Quinn; Anita Dunbier; Michael Baum; Aman Buzdar; Anthony Howell; Roberto Bugarini; Frederick L Baehner; Steven Shak
Journal:  J Clin Oncol       Date:  2010-03-08       Impact factor: 44.544

10.  Prognostic utility of HOXB13:IL17BR and molecular grade index in early-stage breast cancer patients from the Stockholm trial.

Authors:  P-L Jerevall; X-J Ma; H Li; R Salunga; N C Kesty; M G Erlander; D C Sgroi; B Holmlund; L Skoog; T Fornander; B Nordenskjöld; O Stål
Journal:  Br J Cancer       Date:  2011-05-10       Impact factor: 7.640

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  121 in total

1.  Use of letrozole after aromatase inhibitor-based therapy in postmenopausal breast cancer (NRG Oncology/NSABP B-42): a randomised, double-blind, placebo-controlled, phase 3 trial.

Authors:  Eleftherios P Mamounas; Hanna Bandos; Barry C Lembersky; Jong-Hyeon Jeong; Charles E Geyer; Priya Rastogi; Louis Fehrenbacher; Mark L Graham; Stephen K Chia; Adam M Brufsky; Janice M Walshe; Gamini S Soori; Shaker R Dakhil; Thomas E Seay; James L Wade; Edward C McCarron; Soonmyung Paik; Sandra M Swain; D Lawrence Wickerham; Norman Wolmark
Journal:  Lancet Oncol       Date:  2018-11-30       Impact factor: 41.316

Review 2.  [Molecular pathology for breast cancer: Importance of the gene expression profile].

Authors:  C Denkert; B M Pfitzner; B I Heppner; M Dietel
Journal:  Pathologe       Date:  2015-03       Impact factor: 1.011

3.  Digital image analysis outperforms manual biomarker assessment in breast cancer.

Authors:  Gustav Stålhammar; Nelson Fuentes Martinez; Michael Lippert; Nicholas P Tobin; Ida Mølholm; Lorand Kis; Gustaf Rosin; Mattias Rantalainen; Lars Pedersen; Jonas Bergh; Michael Grunkin; Johan Hartman
Journal:  Mod Pathol       Date:  2016-02-26       Impact factor: 7.842

4.  Cost Effectiveness of Gene Expression Profile Testing in Community Practice.

Authors:  Young Chandler; Clyde B Schechter; Jinani Jayasekera; Aimee Near; Suzanne C O'Neill; Claudine Isaacs; Charles E Phelps; G Thomas Ray; Tracy A Lieu; Scott Ramsey; Jeanne S Mandelblatt
Journal:  J Clin Oncol       Date:  2018-01-08       Impact factor: 44.544

5.  Adjuvant endocrine therapy in premenopausal women with breast cancer.

Authors:  Kunal C Kadakia; N Lynn Henry
Journal:  Clin Adv Hematol Oncol       Date:  2015-10

6.  Linking estrogen-induced apoptosis with decreases in mortality following long-term adjuvant tamoxifen therapy.

Authors:  V Craig Jordan
Journal:  J Natl Cancer Inst       Date:  2014-09-30       Impact factor: 13.506

7.  Network-based approach to identify prognostic biomarkers for estrogen receptor-positive breast cancer treatment with tamoxifen.

Authors:  Rong Liu; Cheng-Xian Guo; Hong-Hao Zhou
Journal:  Cancer Biol Ther       Date:  2015       Impact factor: 4.742

8.  How to Achieve Optimal Care in Early Breast Cancer with 'Less' or 'More' Treatment.

Authors:  Giuseppe Curigliano
Journal:  Breast Care (Basel)       Date:  2017-06-27       Impact factor: 2.860

Review 9.  Clinical utility of gene-expression signatures in early stage breast cancer.

Authors:  Maryann Kwa; Andreas Makris; Francisco J Esteva
Journal:  Nat Rev Clin Oncol       Date:  2017-05-31       Impact factor: 66.675

10.  Multiparametric Genomic Assays for Breast Cancer: Time for the Next Generation?

Authors:  Adam M Brufsky; Nancy E Davidson
Journal:  Clin Cancer Res       Date:  2016-08-12       Impact factor: 12.531

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